How to Set Up Your WorkorAI AI Career Agent: A Step-by-Step Guide for Developers

For most engineers, job hunting still looks the same: tailor the resume, blast it at fifty listings, then wait through weeks of silence punctuated by irrelevant recruiter messages. WorkorAI flips that model. You build one verified profile, and matching opportunities come to you — remote-first roles from global teams, with compensation in USD, EUR, or USDT regardless of where you live.

The catch: the quality of the matches you get depends almost entirely on how well you set up your profile. This guide walks through the entire setup, step by step, and shows you how to get it right the first time. Budget about 20 minutes.

What your WorkorAI agent actually does

Think of it less like a job board and more like an agent working on your behalf. It pulls signal from several sources, verifies your technical depth, and then quietly represents you to companies that genuinely fit.

In practice that means four inputs feed one verified profile:

• Your resume — parsed automatically in about 30 seconds.
• Your GitHub — repositories, languages, and contribution patterns.
• Your LinkedIn — work history and professional context.
• A 10-minute AI interview — a check on real engineering depth, not keyword matching.

The result is shared only with companies that match your stack and salary expectations — and only when interest is mutual. No public billboard, no headhunter spam.

Before you start: a 5-minute prep checklist

Setup goes faster (and your matches get better) if you have these ready:

• An up-to-date PDF resume — text-based, not a scanned image, so the parser can read it cleanly.
• A GitHub account with your best work public. Pin the repositories you're proud of.
• A current LinkedIn profile, consistent with your resume.
• 15–20 minutes of quiet, uninterrupted time and a decent microphone for the AI interview.
• Clarity on what you want: target role, seniority, must-have tech stack, a realistic salary range, and your timezone.

Step 1 — Create your profile

Head to workorai.com and click Create Your Profile. Sign up with your email — this is the account your agent lives in.

Step 2 — Upload your resume

Upload your PDF and let the AI parse it. In roughly 30 seconds it extracts your experience, skills, and previous roles.

Tips for a clean parse:

• Use a simple, single-column layout. Fancy graphics and multi-column designs confuse parsers.
• Lead with impact, quantified — "cut p95 latency 40%," "scaled to 2M daily users" — not vague duties.
• Make sure your current title and years of experience are accurate; the agent uses them to estimate seniority.

Step 3 — Connect GitHub

This is where WorkorAI sets itself apart from a resume database. It analyzes your repositories, primary languages, and contribution patterns to corroborate what your resume claims.

Tips:

• Pin your strongest 4–6 repositories and give each a clear README explaining the problem and your role.
• Make the work you want evaluated public. Private-only profiles give the agent little to verify.
• Don't obsess over a perfect contribution streak — depth and quality of work matter more than green squares.

Step 4 — Link LinkedIn

Linking LinkedIn syncs your work history and professional network so your timeline is complete. Keep titles and dates consistent with your resume — contradictions weaken the profile.

Step 5 — Review and refine your AI-generated profile

The agent now generates a draft profile: detected skills, an estimated seniority level, and the role types you match. Do not skip this review. It's the highest-leverage five minutes of the whole process.

• Confirm your seniority is right (mid, senior, staff). A mis-read here skews every match.
• Fix any mis-parsed titles or merged roles.
• Add context for career pivots or gaps so they read as intentional, not as red flags.
• Remove stale skills you no longer want to be matched on.

Garbage in, garbage out: a sloppy profile produces sloppy matches.

Step 6 — Set your preferences

Your preferences are the filter that keeps the noise out, so be deliberate:

• Role and specialization (e.g., backend, ML, platform, frontend).
• Seniority you're targeting.
• Must-have vs. nice-to-have stack.
• Salary expectation in USD / EUR / USDT.
• Timezone window and remote-only preference.
• Industries you want — or want to avoid.

Be honest about your salary band. Because WorkorAI only surfaces roles that match it, lowballing yourself simply hides better-paying opportunities.

Step 7 — Take the 10-minute AI interview

This short technical interview replaces the generic HR screen. It probes architecture, system design, trade-offs, and decision-making — how you think, not which buzzwords you can recite.

How to do well:

• Pick a domain you know deeply and steer toward it.
• Think out loud. The agent is evaluating your reasoning, so narrate your assumptions and trade-offs.
• Use real examples — a system you designed, a nasty production bug, a scaling decision and why you made it.
• State trade-offs explicitly. "I'd choose X over Y because of Z, accepting the cost of…" signals senior judgment.

Do it in a quiet room with a good mic, and treat it like a conversation with a thoughtful staff engineer. Once you pass, that verification is what lets you skip repetitive early-stage screens and move straight toward final interviews.

Step 8 — Go live and control your privacy

Activate matching and you're done. From here, your profile is presented only to companies with a confirmed mutual interest that fit your salary and stack. You decide who sees you, and there's no recruiter spam by design.

What happens after setup

Matches are driven by real hiring demand across the global tech market. Because your profile is pre-verified, members often move from match to final-stage interviews quickly — WorkorAI reports offers in as little as five days for some candidates, and meaningful jumps in compensation.

To keep the quality high over time:

• Re-sync GitHub after you ship something significant.
• Revisit your salary band as you level up.
• Refresh preferences when your goals change.

Profile optimization tips (quick wins)

• Lead every resume bullet with a measurable result.
• Pin GitHub repos that match the roles you want, not just your most-starred ones.
• Keep resume, LinkedIn, and GitHub telling the same story.
• Write READMEs for a hiring engineer, not your future self.
• Set a salary band that reflects global market rates, not just your local one.

Common mistakes to avoid

• Skipping the profile review. The draft is a starting point, not the final word.
• Hiding your best code in private repos. If the agent can't see it, it can't vouch for it.
• Treating the AI interview like a trivia quiz. It rewards reasoning, not recall.
• Underselling your salary expectations out of caution — it only narrows your options.
• Setting it and forgetting it. A stale profile drifts out of sync with your real level.

FAQ

How long does setup take? Around 20 minutes end to end, including the 10-minute interview.

Is my data private? Yes. Your profile is disclosed only to companies with mutual interest that match your criteria — it is not a public listing.

Do I have to be actively job hunting? No. Many engineers set up a profile and let relevant opportunities come to them passively.

What if I'm self-taught or don't have a CS degree? The AI interview and your GitHub let your actual engineering ability speak for itself — credentials aren't the gate.

Where are the roles? Remote-first positions with global teams, from Silicon Valley startups to fintech companies in London and Singapore, with pay in USD/EUR/USDT.

Ready to let jobs find you?

Build your profile once and put your agent to work. Create your WorkorAI profile and start getting matched with high-signal, remote-first roles — no spam, no middlemen.